@article{(Open Science Index):https://publications.waset.org/pdf/11765,
	  title     = {Information Fusion for Identity Verification},
	  author    = {Girija Chetty and  Monica Singh},
	  country	= {},
	  institution	= {},
	  abstract     = {In this paper we propose a novel approach for ascertaining human identity based on fusion of profile face and gait biometric cues The identification approach based on feature learning in PCA-LDA subspace, and classification using multivariate Bayesian classifiers allows significant improvement in recognition accuracy for low resolution surveillance video scenarios. The experimental evaluation of the proposed identification scheme on a publicly available database [2] showed that the fusion of face and gait cues in joint PCA-LDA space turns out to be a powerful method for capturing the inherent multimodality in walking gait patterns, and at the same time discriminating the person identity..
},
	    journal   = {International Journal of Computer and Information Engineering},
	  volume    = {5},
	  number    = {5},
	  year      = {2011},
	  pages     = {515 - 520},
	  ee        = {https://publications.waset.org/pdf/11765},
	  url   	= {https://publications.waset.org/vol/53},
	  bibsource = {https://publications.waset.org/},
	  issn  	= {eISSN: 1307-6892},
	  publisher = {World Academy of Science, Engineering and Technology},
	  index 	= {Open Science Index 53, 2011},
	}